Enterprise Business Development Representative Dach in India

... Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP568875

... Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP567264

Staff required for office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP576334

Staff required for officecleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP576335

staff required for office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP575955

TECHNICIAN HT 24000 IN HAND SALARY Address: Adani Aravali( Adani Enterprises Ltd) Adani Corporate House Shantigram S.G. Highway Ahmedabad Facility: ADANI ARAVALI (ADANI ENTERPRISES) - FM Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP575468

HT Technician 24000 in salary Address: Adani Aravali( Adani Enterprises Ltd) Adani Corporate House Shantigram S.G. Highway Ahmedabad Facility: ADANI ARAVALI (ADANI ENTERPRISES) - FM Experience: 2 - 3 years Source: Sodexo India | Job Code: IJP575472

Staff required for office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP574444

Staff required office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP574441

Staff required for office cleaning Address: Tata Consultancy Services Limited Gopalan Enterprises Pvt Ltd ( Global Axis) SEZ (Unit IV) Block H -Sy No147 157&158) Hoody Village EPIP Zone Whitefield K R Puram Hobli Bangalore Karnataka - 560006 Facility: TCS - Global Axis SEZ Qualification: Not Specified Experience: 1 - 2 years Source: Sodexo India | Job Code: IJP574451

About Bolna Bolna is a Voice AI orchestration platform powering 33M+ calls every month for enterprises across BFSI, e-commerce, logistics, and more. We build intelligent voice agents that businesses can deploy at scale. The challenge? We build great products, but too few people outside our existing customers know about them. We’re hiring a Product Marketing Manager to change that. This Role You’ll own Product GTM end-to-end - from positioning and messaging to launches, product education, and adoption. You’ll work closely with founders, Product, Engineering, and Sales to turn complex technical capabilities into stories, demos, and content that customers understand and care about. You’ll also own the journey from first touch to product activation , identifying drop-offs and driving initiatives to improve adoption. This is a hands-on role for someone who enjoys going deep into a technical product and can use and demo the product themselves . What You’ll Do Own GTM for product launches and major feature releases. Develop positioning, messaging, launch narratives, and product stories . Create launch assets - demos, product pages, documentation, comparison pages, presentations, and content. Own product activation and adoption; identify funnel gaps and work with Product/Growth to improve them. Run webinars, demos, and product education initiatives. Build competitive intelligence, sales enablement, and battlecards. Partner with Sales to understand customer objections and translate them into better GTM. Work with founders, Product, Engineering, and Growth to shape how Bolna goes to market. What We’re Looking For 4–7 years of Product Marketing experience , ideally in B2B SaaS, AI, developer tools, or technical products. Strong experience in product launches, positioning, messaging, and GTM . Excellent written, verbal, and presentation skills. Strong analytical and problem-solving skills. Comfortable working in a 0→1, fast-moving startup environment . Technical curiosity and a

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra